A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
The Least Mean Square (LMS) algorithm has a slow convergence rate as it is dependent on the eigenvalue spread of the input correlation matrix. In this research, we solved this problem by introducing a novel adaptive filtering algorithm for complex domain signal processing based on q-derivative. The...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Published: |
2022
|
Online Access: | http://scholars.utp.edu.my/id/eprint/33954/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129087312&doi=10.1007%2fs10489-022-03514-3&partnerID=40&md5=474668d0eae78cf221a81ab8ccef95e3 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Petronas |
Be the first to leave a comment!